- Filtered, organized, manipulated, and applied signal processing techniques to time series data produced from wind turbines- Performed statistical analyses on complex datasets to assess reliability of data and methodology- Provided robust analysis that ambient noise emitted from wind turbines can undergo cross correlation to produce clear signals- Presented findings at the Fall 2021 American Geophysical Union meeting- Underwent peer review process from the scientific community and published results in the Seismological Research Letters journal

- Utilized computational and analytical skills to reduce the size of a large data set by 75% for data analysis - Found evidence of anisotropy in Southern California and communicated findings to panel of researchers - Trained in field work to collect data through various forms of geophysical surveying

- Built relationships with researchers in Atlanta and Beijing to collaborate on investigation of remotely triggered earthquakes in Northeastern China- Proposed existence of previously uncatalogued earthquakes using machine learning techniques- Presented results at Fall 2018 American Geophysical Union and proposed new methodology for future studies